关键词: 模拟电路, 故障诊断, 故障特征向量, 多小波变换, 神经网络

Abstract: This paper proposes a novel method of analog circuits fault diagnosis based on multi-wavelet neural network. It introduces the principle of multi-wavelet, analyzes the structure of multi-wavelet neural network and the approximation properties and the algorithm of multi-wavelet neural network. It uses multi-wavelet to deal with fault signal and extracts fault feature vector input to the neural network, thus diagnoses analog circuits fault. Since the multi-wavelet function is provided with a series of advantages such as continuous and symmetry as well as support set that is short and so on, using multi-wavelet neural network to analog circuits fault diagnosis is provided with advantages such as high accuracy and fast speed of diagnosis than the general wavelet neural network. It gives a simulation diagnosis example, and the effectiveness of this method is verified.

Key words: analog circuits, fault diagnosis, fault feature vector, multi-wavelet transfer, neural network